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Automated Generation of Indoor Accessibility Information for Mobility-Impaired Individuals

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Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

One important issue in developing assistive navigation systems for people with disability is the accuracy and relevancy of the systems’ knowledge bases from the perspective of these special user groups. The theory of affordances coupled with computer-based simulation offers a solution for automating the extraction of the relevant information from readily available sources—architectural floor plans. Simulation of movement in a wheelchair can be used to compute the accessible space of an indoor environment by comparing the degree of match between geometrical demands of navigation and the relevant physical properties of the environment. We also investigate what constitutes the right level of representation of the environment and adopt the grid graph model as suitable both for accessibility computation and for deriving higher-level networks of places and their connections that facilitate orientation and user-system interaction.

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Acknowledgments

The work presented in this paper was conducted and financed as part of the LIFE project at the Institute for Geoinformatics (IFGI) of the University of Münster. The Universitäts- und Landesbibliothek were kind enough to provide floor plans for the library building. The authors owe gratitude to Dr. Pedro Ribeiro de Andrade of Brazil’s National Institute for Space (INPE) for his help with programming in the TerraME modelling environment, as well as Dr. Marco Painho of the NOVA School of Statistics and Information Management (ISEGI-NOVA) and Dr. Rui Li of IFGI for their valuable input.

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Correspondence to Nemanja Kostic .

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Kostic, N., Scheider, S. (2015). Automated Generation of Indoor Accessibility Information for Mobility-Impaired Individuals. In: Bacao, F., Santos, M., Painho, M. (eds) AGILE 2015. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-16787-9_14

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